High Performance Computing

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ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 – July 2,2021, Revised Selected Papers, Lecture Notes in Computer Science 12761 – Theoretical Computer Science and General Issues

ISBN: 3030905381
ISBN 13: 9783030905385
Herausgeber: Heike Jagode/Hartwig Anzt/Hatem Ltaief et al
Verlag: Springer Verlag GmbH
Umfang: xiii, 515 S., 25 s/w Illustr., 174 farbige Illustr., 515 p. 199 illus., 174 illus. in color.
Erscheinungsdatum: 13.11.2021
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

Chapter „Machine-Learning-Based Control of Perturbed and Heated Channel Flows“ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Artikelnummer: 2916430 Kategorie:

Beschreibung

This book constitutes the refereed post-conference proceedings of 9 workshops held at the 35th International ISC High Performance 2021 Conference, in Frankfurt, Germany, in June-July 2021:Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis; HPC-IODC: HPC I/O in the Data Center Workshop; Compiler-assisted Correctness Checking and Performance Optimization for HPC; Machine Learning on HPC Systems;4th International Workshop on Interoperability of Supercomputing and Cloud Technologies;2nd International Workshop on Monitoring and Operational Data Analytics;16th Workshop on Virtualization in High­-Performance Cloud Computing; Deep Learning on Supercomputers; 5th International Workshop on In Situ Visualization. The 35 papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale,high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning.Chapter Machine-Learning-Based Control of Perturbed and Heated Channel Flows is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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E-Mail: juergen.hartmann@springer.com

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